OpenAI

Senior Software Engineer, Data Acquisition

San Francisco, California, United States

$310,000 – $385,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries

Requirements

Candidates should possess a BS, MS, or PhD in Computer Science or a related field. They must have at least 6 years of industry experience in software development, with strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes and Infrastructure-as-Code concepts is required, along with a willingness to try new approaches and technologies. Strong communication skills, both written and verbal, are essential, as well as the ability to handle multiple tasks and adapt to changing priorities.

Responsibilities

The Senior Software Engineer will own and lead engineering projects in data acquisition, including web crawling and data ingestion. They will collaborate with other sub-teams to ensure smooth data flow and system operability, and work closely with the legal team on compliance and data privacy matters. The role involves developing and deploying highly scalable distributed systems, architecting algorithms for data indexing and search capabilities, and building and maintaining backend services for data storage. Additionally, they will deploy solutions in a Kubernetes Infrastructure-as-Code environment and conduct experiments to analyze system performance.

Skills

Kubernetes
Infrastructure-as-Code
Large Stateful Distributed Systems
Data Processing
Web Crawlers
Data Ingestion
Key-Value Databases
SQL
Data Indexing
Search Algorithms
Distributed Systems
Data Synchronization

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

Key Metrics

San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health insurance
Dental and vision insurance
Flexible spending account for healthcare and dependent care
Mental healthcare service
Fertility treatment coverage
401(k) with generous matching
20-week paid parental leave
Life insurance (complimentary)
AD&D insurance (complimentary)
Short-term/long-term disability insurance (complimentary)
Optional buy-up life insurance
Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)
Annual learning & development stipend
Regular team happy hours and outings
Daily catered lunch and dinner
Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.
Customizable ChatGPT personas could lead to privacy and ethical concerns.
Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.
OpenAI's AI models, like Sora, offer unique video creation from text descriptions.
OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.
Customizable ChatGPT personas enhance user engagement and satisfaction.
OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

Land your dream remote job 3x faster with AI